unfortunately it lot of things in AWS that also could be messed up so it might be really hard to research what is going on. For example, you could have hundreds of Lambdas running without any idea where original sources and how they connected to each-other, or complex VPCs network routing where some rules and security groups shared randomly between services so if you do small change it could lead to completely difference service to degrade (like you were hired to help with service X but after you changes some service Y went down and you even not aware that it existed)
Not much different from how it worked in companies I used to work for. Except the situation was even worse as we had no api or UI to probe for information.
maybe some combination of visual representation with text. For example it's not easy to come up intuitive with names of operations which could be applied to some surface. But if you could say something like 'select top side of cylinder' and it will show you some possible names of operations (with illustrations/animations) which could be applied to it then it's easy to say back what it need to do without actually knowing what actually possible. So as result it maybe just much quicker way to interact with CAD that we are using currently.
>You need to follow up with a set of strict requirements to set expectations, guard rails, and what the final product should do (and not do).
that usually very hard to do part, and is was possible to spent few days on something like that in real word before LLMs. But with LLMs is worse because is not enough to have those requirements, some of those won't work for random reasons and is no any 'rules' that can grantee results. It always like 'try that' and 'probably this will work'.
Just recently I was struggled with same prompt produced different result between API calls before I realized that just usage of few more '\"' and few spaces in prompt leaded model to completely different route of logic which produced opposite answers.
it looks like some kind marketing push or 'growth hack', just to get some viral thing around which justify why do you extra reason to pay for Claude or Tailscale subscription.
I personally not even convinced that Claude Code any better on average than something like Aider+Gemini 3 or other good model. May be in some specific cases it actually better but in those Aider+'Antropic Model via API' most likely will work too.
is one of the issues of modern web as it's optimized for quick most efficient reading, but something like this website is more optimized for slow thoughtful experience. Like some of the books about art history where you not only trying to get extract meaning of words but trying imagine how that time felt and try look on things from different perspective or different values.
From what I heard, even if a person is an EU citizen and does not have dual citizenship but was born in some ex-USSR/CIS countries. For example, if they migrated with their parents at the age of 1y, they will always be considered a higher-risk client by EU banks and will always be under some suspicion. So if that true is not possible to stop being related at least fully.
unfortunately it lot of things in AWS that also could be messed up so it might be really hard to research what is going on. For example, you could have hundreds of Lambdas running without any idea where original sources and how they connected to each-other, or complex VPCs network routing where some rules and security groups shared randomly between services so if you do small change it could lead to completely difference service to degrade (like you were hired to help with service X but after you changes some service Y went down and you even not aware that it existed)
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